Stop shipping AI agents blindly. Ahmad Wael explains how to use the NeMo Agent Toolkit (NAT) to implement deep observability and trajectory evaluation. Learn to use Arize Phoenix and W&B Weave to identify bottlenecks, compare model performance, and ensure your LLM applications are production-ready through data-driven metrics.
The Penpot MCP server experiment marks a major shift in AI-powered design workflows. By leveraging the Model Context Protocol, Penpot provides a secure, structured bridge for LLMs like Claude to interact with real design data. This senior dev’s take explores why design-expressed-as-code is the only way to eliminate AI hallucinations and technical debt.
Ahmad Wael breaks down the spectrum of PostgreSQL insert strategies in Python. From the abstraction-heavy SQLAlchemy ORM to the raw power of Psycopg3’s COPY command, learn which tool fits your workload. Includes benchmarks and refactoring tips to avoid common database bottlenecks and memory leaks in high-volume data ingestion.
HNSW Recall Degradation is a silent killer in scaling RAG systems. As vector databases grow, retrieval quality drops even when latency remains stable, leading to LLM hallucinations. Learn why you must tune ef_search and use hybrid retrieval architectures to maintain context quality in production WordPress AI applications.
Stop guessing and start solving. Explore how Advent of Code 2025 problems like Tachyon Manifolds and Factory Optimization reveal the importance of Algorithmic Thinking in Data Science. Learn to use MILP, Union-Find, and Dynamic Programming to build enterprise-grade logic that scales without crashing your execution stack.
Ahmad Wael shares a pragmatic guide to Drift Detection in machine learning systems. Learn the difference between data drift and concept drift, and discover how to use statistical tests like K-S and PSI to identify model degradation before it impacts your business revenue and system stability.
Stop blaming the LLM for your broken agentic pipelines. Senior WordPress developer Ahmad Wael explains why messy MCP tool descriptions cause model bias and how to fix it using the “hiding arguments” pattern and proxy servers like Master-MCP. Learn to build robust AI integrations without overspending on expensive models.
The WordPress Plugins Team 2025 report reveals a doubling of submissions driven by the AI influx. With 12,713 reviews and new automated security scans via the Plugin Check Plugin, the barrier to directory approval is higher than ever. Learn how to navigate these shifts and keep your code secure.
WooCommerce 10.5 introduces a major refactor to WooCommerce variation price caching, replacing full object serialization with stable signatures via the new CallbackUtil class. This update reduces price lookup execution from 500ms to 40ms for large variation sets, though developers must now manually hook into the cache hash for dynamic pricing.
Retrieval-Augmented Forecasting (RAF) is revolutionizing time-series analysis by adding an explicit memory step to traditional models. Instead of relying on static training weights, RAF allows models to perform similarity searches on historical data, significantly improving accuracy during rare events and market shifts. Learn how to implement vector-based memory for more robust forecasting.